The CaiTI_dataset repository contains datasets for Motivational Interviewing and Cognitive Behavioral Therapy, curated by therapists to train CaiTI.
The CaiTI_dataset repository is a valuable resource for researchers and developers working in the field of mental health and therapeutic interventions. It provides a collection of datasets specifically curated for training CaiTI, a conversational AI system designed to assist in Motivational Interviewing and Cognitive Behavioral Therapy. These datasets are essential for developing and improving AI-driven therapeutic tools, ensuring they are effective and aligned with clinical practices.
PsychData is an online platform for hosting and conducting surveys and experiments in psychology, supporting secure data collection for researchers and students.
The IC-AnnoMI repository contains source code and a synthetic dataset generated through in-context zero-shot LLM prompting for mental health and therapeutic counselling. IC-AnnoMI is a project that generates contextual MI dialogues using large language models (LLMs). The project contains source code and a synthetic dataset generated through zero-shot prompts, aiming to address the data scarcity and inherent bias problems in mental health and therapeutic consultation.
The Emotional First Aid Dataset is a comprehensive Chinese psychological counseling QA corpus, featuring 20,000 multi-turn dialogues. It is designed to support the development of AI applications in the field of psychological counseling and is available for research purposes.